paulin/EasyGA
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Looser rate bounds inside adapt

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SimpleArt
2020-12-02 18:43:44 -05:00
parent 88624345d0
commit df05cf1f5c
1 changed files with 4 additions and 4 deletions
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8
src/EasyGA.py
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@ -130,16 +130,16 @@ class GA(Attributes):
# Too few converged: cross more and mutate less
if tol(amount_converged//2) > tol(amount_converged//2)*4:
self.selection_probability = min(0.75, self.selection_probability * multiplier)
self.selection_probability = min(0.99, self.selection_probability * multiplier)
self.chromosome_mutation_rate = max(0.05, self.chromosome_mutation_rate / multiplier)
self.gene_mutation_rate = max(0.05, self.gene_mutation_rate / multiplier)
self.gene_mutation_rate = max(0.01, self.gene_mutation_rate / multiplier)
# Too many converged: cross less and mutate more
else:
self.selection_probability = max(0.25, self.selection_probability / multiplier)
self.selection_probability = max(0.01, self.selection_probability / multiplier)
self.chromosome_mutation_rate = min(0.25, self.chromosome_mutation_rate * multiplier)
self.gene_mutation_rate = min(0.25, self.gene_mutation_rate * multiplier)
self.gene_mutation_rate = min(0.99, self.gene_mutation_rate * multiplier)
# First non-zero tolerance after amount_converged/8
for i in range(amount_converged//8, len(self.population)):